Multi-Agent LLM Systems

LLM: Large Language Model

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85 papers in the last four weeks, up 107% on the four weeks before. 0.8% of all new papers.

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Declarative Data Services: Structured Agentic Discovery for Composing Data Systems
May 20, 2026Shanshan Ye, Duo LuMulti-Agent LLM Systems LLM Agent Orchestration
Northeastern University · Brown University
Modeling Emotional Dynamics in Agent-to-Agent Interactions on Moltbook
May 19, 2026Syed Mhamudul Hasan, Abdur R. ShahidMulti-Agent LLM Systems LLM Agent Evaluation
Southern Illinois University Carbondale, IL, USA
EngiAI: A Multi-Agent Framework and Benchmark Suite for LLM-Driven Engineering Design
May 19, 2026Gioele Molinari, Florian Felten, Soheyl Massoudi +1Multi-Agent LLM Systems LLM Agent Evaluation
IDEAL Chair of Artificial Intelligence in Engineering Design ETH Zurich Zurich, Switzerland · IDEAL, ETH Zurich, Zurich, Switzerland · Autom8.build, Brussels, Belgium
Conflict-Resilient Multi-Agent Reasoning via Signed Graph Modeling
May 19, 2026Longgang He, Longzhu He, Daojing He +1Multi-Agent LLM Systems Multi-Agent Systems
Harbin Institute of Technology (Shenzhen) · Beijing University of Posts and Telecommunications
Trustworthy Agent Network: Trust in Agent Networks Must Be Baked In, Not Bolted On
May 18, 2026Yixiang Yao, Yuhang Yao, Xinyi Fan +5Multi-Agent LLM Systems Multi-Agent Coordination
University of Southern California · Carnegie Mellon University · University of Illinois Urbana-Champaign
AgentNLQ: A General-Purpose Agent for Natural Language to SQL
May 18, 2026Olena Bogdanov, Yeunji Jung, Chandra Dhir +5Multi-Agent LLM Systems LLM Agent Orchestration
JPMorganChase
MA $^{2}$ P: A Meta-Cognitive Autonomous Intelligent Agents Framework for Complex Persuasion
May 18, 2026Dingyi Zhang, Ziqing Zhuang, Linhai Zhang +2Multi-Agent LLM Systems Persuasion in Language Models
School of Computer Science and Engineering, Key Laboratory of Computer Network and Information Integration, Ministry of Education, Southeast University, China · Department of Informatics, King’s College London
PROTEA: Offline Evaluation and Iterative Refinement for Multi-Agent LLM Workflows
May 18, 2026Kazuki Kawamura, Satoshi Waki, Kei TatenoMulti-Agent LLM Systems LLM Agent Evaluation
Sony Group Corporation
Multi-agent AI systems outperform human teams in creativity
May 18, 2026Tiancheng Hu, Yixuan Jiang, Haotian Li +5Multi-Agent LLM Systems Multi-Agent Collaboration
Department of Theoretical and Applied Linguistics, University of Cambridge, Cambridge, CB3 9DA, United Kingdom. · Department of Psychology and Behavioral Sciences, Zhejiang University, Hangzhou, 310058, China. · The Psychometrics Centre, Cambridge Judge Business School, May University of Cambridge, Cambridge, CB2 1AG, United Kingdom. +4
Scale-Dependent Collective Adaptation in Self-Amending LLM Societies: A Cross-Family Study of Emergent Governance
May 17, 2026Kazuya Horibe, Masaomi Hatakeyama, Gen Masumoto +2Multi-Agent LLM Systems Multi-Agent Coordination
Center for Brain Science, RIKEN. · Department of Evolutionary Biology and Environmental Studies, University of Zurich. · Information R&D and Strategy Headquarters. +3
The Capability Paradox: How Smarter Auditors Make Multi-Agent Systems Less Secure
May 17, 2026Qiqi Liu, Thorsten Holz, Shilin Ye +1Multi-Agent LLM Systems Multi-Agent System Security
University of Chinese Academy of Sciences · Max Planck Institute for Security and Privacy · Henan Yinzhu Safety Technology Co., Ltd. +1
VerifyMAS: Hypothesis Verification for Failure Attribution in LLM Multi-Agent Systems
May 17, 2026Hezhe Qiao, Hanghang Tong, Ee-Peng Lim +2Agent Failure Analysis Multi-Agent LLM Systems
Singapore Management University · University of Illinois at Urbana-Champaign · University of Illinois at Chicago
MasFACT: Continual Multi-Agent Topology Learning via Geometry-Aware Posterior Transfer
May 17, 2026Xuefei Wang, Jialu Wang, Fengbo Zhang +6Continual Learning for LLM Agents Multi-Agent LLM Systems
Beihang University · Independent Researcher · Beijing University of Posts and Telecommunications
Learning Transferable Topology Priors for Multi-Agent LLM Collaboration Across Domains
May 17, 2026Taolin Zhang, Zijie Zhou, Jiuheng Wan +4Multi-Agent LLM Systems Multi-Agent System Optimization
Hefei University of Technology, Hefei 230002, China · China University of Petroleum (Beijing), Beijing 102249, China · East China Normal University, Shanghai 200062, China +1
Taming "Zombie'' Agents: A Markov State-Aware Framework for Resilient Multi-Agent Evolution
May 17, 2026Taolin Zhang, Pukun Zhao, Qizhou Chen +5Multi-Agent LLM Systems Multi-Agent Coordination
School of Computer Science and Information Engineering, Hefei University of Technology · Guangdong University of Finance and Economics · East China Normal University +1
Multi-LLM Systems Exhibit Robust Semantic Collapse
May 16, 2026Weiyi Kong, Shiyang Lai, Jinghua Piao +1Multi-Agent LLM Systems Language Model Robustness
Department of Electrical Computer Engineering, University of Toronto; Toronto, M5S 3G4, Canada · Department of Sociology, University of Chicago; Chicago, 60637, USA · 3Knowledge Lab, University of Chicago; Chicago, 60637, USA +3
MADP: A Multi-Agent Pipeline for Sustainable Document Processing with Human-in-the-Loop
May 16, 2026Diego Gosmar, Giovanni ZeneziniMulti-Agent LLM Systems Document Information Extraction
Tesisquare Head of AI, Turin, Italy · Polytechnic University of Turin, Department of Management and Production Engineering, Torino, Italy
S-Bus: Automatic Read-Set Reconstruction for Multi-Agent LLM State Coordination
May 16, 2026Sajjad KhanMulti-Agent LLM Systems Consistency Models
NeuroMAS: Multi-Agent Systems as Neural Networks with Joint Reinforcement Learning
May 16, 2026Haoran Lu, Luyang Fang, Wenxuan Zhong +1Multi-Agent LLM Systems Multi-Agent Coordination
Department of Statistics University of Georgia Athens, GA 30602
Argus: Evidence Assembly for Scalable Deep Research Agents
May 15, 2026Zhen Zhang, Liangcai Su, Zhuo Chen +7Multi-Agent LLM Systems Tool-Augmented Language Model Agents
MiroMind AI
Context, Reasoning, and Hierarchy: A Cost-Performance Study of Compound LLM Agent Design in an Adversarial POMDP
May 15, 2026Igor Bogdanov, Chung-Horng Lung, Thomas Kunz +3Multi-Agent LLM Systems LLM Agent Orchestration
Carleton University Ottawa, Ontario, Canada · Defence R&D Canada Ottawa, Ontario, Canada · Cistel Technology Ottawa, Ontario, Canada
APWA: A Distributed Architecture for Parallelizable Agentic Workflows
May 14, 2026Evan Rose, Tushin Mallick, Matthew D. Laws +2Multi-Agent LLM Systems Multi-Agent Orchestration
Northeastern University
Trustworthy Multi-Agent Systems: Mitigating Semantic Drift with the Argent Signaling Protocol
May 14, 2026Anantha SharmaAI Agent Reliability Multi-Agent LLM Systems
Synechron Inc · Charlotte, NC, USA
Towards In-Depth Root Cause Localization for Microservices with Multi-Agent Recursion-of-Thought
May 14, 2026Lingzhe Zhang, Tong Jia, Kangjin Wang +8Software Engineering Multi-Agent LLM Systems
Peking University, Beijing, China · Huawei Theory Lab, China
Beyond AI as Assistants: Toward Autonomous Discovery in Cosmology
May 14, 2026Licong Xu, Thomas BorrettMulti-Agent LLM Systems AI Agents for Scientific Discovery
Institute of Astronomy, University of Cambridge, Madingley Road, Cambridge CB3 0HA, UK · Kavli Institute for Cosmology, University of Cambridge, Madingley Road, Cambridge CB3 0HA, UK · Cavendish Astrophysics, University of Cambridge, Madingley Road, Cambridge CB3 0HA, UK
Lang2MLIP: End-to-End Language-to-Machine Learning Interatomic Potential Development with Autonomous Agentic Workflows
May 14, 2026Wenwen Li, Yuki Orimo, Nontawat CharoenphakdeeMulti-Agent LLM Systems AI Agents for Scientific Discovery
Preferred Networks, Inc., Tokyo, Japan.
Semantic Cooperative Games for Contribution Attribution in LLM-Based Multi-Agent Systems
May 14, 2026Pengyi Jiang, Xiaoguang Zhu, Quanyan ZhuMulti-Agent LLM Systems Cooperative Game Theory
New York University · University of California, Davis
Good Agentic Friends Do Not Just Give Verbal Advice: They Can Update Your Weights
May 13, 2026Wenrui Bao, Huan Wang, Jian Wang +3LLM Inference Efficiency Multi-Agent LLM Systems
University of Central Florida · Westlake University · Snap Inc. +2
ScioMind: Cognitively Grounded Multi-Agent Social Simulation with Anchoring-Based Belief Dynamics and Dynamic Profiles
May 13, 2026Yitian Yang, Yiqun Duan, Linghan Huang +4Multi-Agent LLM Systems Opinion Dynamics
The University of Sydney · Meta
IdeaForge: A Knowledge Graph-Grounded Multi-Agent Framework for Cross-Methodology Innovation Analysis and Patent Claim Generation
May 13, 2026Joy BoseMulti-Agent LLM Systems Computational Creativity
Independent Researcher, Bangalore, Karnataka, India

May 20, 2026, cs.AIJ/K move · Enter open · S save

Declarative Data Services: Structured Agentic Discovery for Composing Data Systems

Shanshan Ye, Duo Lu

Northeastern University · Brown University

Multi-Agent LLM Systems LLM Agent Orchestration

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Agentic discovery has shown that LLM-driven search can find novel algorithms, designs, and code under benchmark conditions. Translating the paradigm to multi-system data backends surfaces a harder problem: the search space is heterogeneous, the verifier is whether a deployed stack actually runs, and composition knowledge is unevenly captured in pretraining. Unbounded agentic discovery, a coding agent iterating on failure-log feedback, fails to converge consistently on a working stack even when iteration and explicit composition knowledge are added. We propose Declarative Data Services (DDS), an architecture for structured agentic discovery of data-system compositions from declarative user intent. The framework owns four typed contracts at successive layers (intent, operator DAG, per-system skills, runtime attribution) that decompose the global search into bounded sub-searches; sub-agents search each typed space, while the framework provides the channels by which knowledge flows forward as inline skill citations and errors route backward as typed signals. As a proof of life on a trading-backend workload, DDS converges where unbounded discovery does not; runtime failures become skill patches that the next deployment cites inline. We position this as an early prototype reporting lessons from real-world data-system composition.

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Latest papers 665